Automating Datalake Pipelines for AI

Data engineers are facing increasing demands to deliver accurate, model-ready data to AI initiatives — fast. But traditional data integration tools require time-consuming coding by highly skilled staff. And these tools often lack the capabilities to fully prepare, cleanse, tag, and catalog the data.